Run
8787639

Run 8787639

Task 145979 (Supervised Classification) spambase Uploaded 12-01-2018 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1641
mlr.classif.ranger(9)_mtry56
mlr.classif.ranger(9)_min.node.size16
mlr.classif.ranger(9)_sample.fraction0.155722832353786
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9713
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9309
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8546
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3399.4309
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1374
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9317
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9313
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9313
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2392
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4896
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1783.9978
UserCPU time millis
69.507
UserCPU time millis testing
1.657
UserCPU time millis training
67.85